This panel discussion from the Academy's 2025 Policy Summit explores the intersection of artificial intelligence (AI) and public benefits, examining how technological advancements are influencing policy decisions and the delivery of social services.
This report analyzes how proposed state cost-sharing requirements for SNAP would impact benefit access and poverty during a recession, projecting significant risks to low-income households if states are unable to maintain SNAP funding.
A webinar presenting fresh data on how young adults aged 22 are faring in terms of poverty, employment, education, living arrangements, and access to public benefits.
An overview of direct cash programs and innovations in the U.S., exploring how unconditional cash transfers promote economic stability, mobility, and well-being.
An interactive dashboard that enables users to explore and monitor key metrics of the Supplemental Nutrition Assistance Program (SNAP) Quality Control (QC) system.
A 2025 policy agenda outlining comprehensive federal and state recommendations to eliminate benefits cliffs and strengthen economic mobility for families transitioning off public assistance.
A research report that defines different local early childhood governance models and explains how communities can choose and design governance structures to support effective early care and education systems.
This Urban Institute article argues that poverty is driven by structural barriers rather than individual choices and advocates for safety net programs that address systemic inequities.
Temporary Assistance for Needy Families (TANF) leaders, policymakers, and researchers all recognize the need for TANF agencies to use the data they collect to better understand how well their programs are working and how to improve them, given the impact on the families they serve. It is often difficult, however, for agencies already stretched to capacity to prioritize and execute data use and analytics. State TANF leaders are seeking roadmaps for how to transform their organizations and become data-driven.
